You design and own the architecture of our end-to-end data platform, including ingestion, transformation, and serving layers
You lead the development of robust data pipelines using Fivetran, Airbyte, and Python – setting engineering standards for the team
You drive data modeling excellence in Databricks using advanced SQL, dbt, and data quality frameworks like elementary
You define and enforce data quality standards, ensuring reliable data marts that power business-critical decisions
You act as technical lead, collaborating closely with the Product Owner and Business Insights team on complex data challenges
You own and evolve our cloud infrastructure on AWS, driving infrastructure-as-code with Terraform (IaC)

You have several years of hands-on experience as a Data Engineer, ideally in a cloud-native environment
You’re proficient in SQL, Python, dbt, and Git – and have a strong track record of building production-grade pipelines
You bring experience with cloud platforms (AWS preferred) and tools like Databricks, Fivetran, or Airbyte
You have a deep understanding of data modeling, data warehouse design, and data quality best practices
You’re a strong communicator who can bridge the gap between engineering and business stakeholders
You’re self-driven, take ownership end-to-end, and thrive in a remote, async-first environment

Senior Data Engineer, GN

Key skills